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DeepSeek: DeepSeek V4 Flash Vision Exp (batch) vs NVIDIA: Nemotron 3.5 Content Safety

Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling).

Key numbers

SpecDeepSeek: DeepSeek V4 Flash Vision Exp (batch)NVIDIA: Nemotron 3.5 Content Safety
ProviderDeepSeekNvidia
Input price (per 1M tokens)$0.11$0.20
Output price (per 1M tokens)$0.33$0.20
Blended price (3:1 input/output)$0.17$0.20
Cheaper than … of all models we track73%69%
Context window1.0M tokens (~1,573 pages)131K tokens (~197 pages)
Larger context than … of all models80%22%
Max output per response944K tokens (~707,800 words)118K tokens (~88,500 words)
Input typestext, imagetext, image
Output typestexttext
Free variantNoYes
Listed since2026-08-212026-06-04
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What it costs for real workloads

Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.

Workload (per month)DeepSeek: DeepSeek V4 Flash Vision Exp (batch)NVIDIA: Nemotron 3.5 Content SafetyDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$14.85$19.00DeepSeek: DeepSeek V4 Flash Vision Exp (batch) saves $4.15
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.50$26.00DeepSeek: DeepSeek V4 Flash Vision Exp (batch) saves $9.50
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$17.16$26.40DeepSeek: DeepSeek V4 Flash Vision Exp (batch) saves $9.24
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.78$17.20DeepSeek: DeepSeek V4 Flash Vision Exp (batch) saves $6.42
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.83$10.20DeepSeek: DeepSeek V4 Flash Vision Exp (batch) saves $4.37

Capabilities side by side

CapabilityDeepSeek: DeepSeek V4 Flash Vision Exp (batch)NVIDIA: Nemotron 3.5 Content SafetyWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input——take speech or audio directly
File / PDF input——accept documents without your own parsing step
Image output——generate images, not just text
Built-in web search——answer from live web results
Seed (reproducible sampling)—✓ Yesrepeat a generation for tests and evals
Log-probabilities✓ Yes—read token confidence for classification and scoring

From each model's published parameters and input/output types. “—” means not advertised, not proven absent.

Price history

Which should you choose?

Choose DeepSeek: DeepSeek V4 Flash Vision Exp (batch) if…

  • cost matters at scale — it is 18% cheaper on a typical 3:1 input/output mix ($14.85 vs $19.00 a month for 50,000 support chats)
  • you need to fit long inputs in one request — 1.0M tokens is roughly 1,573 pages, against 197
  • you need tool / function calling — to call your APIs and run agent loops; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need structured output (JSON schema) — to return JSON that validates against your schema; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; NVIDIA: Nemotron 3.5 Content Safety does not advertise it
  • you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response

Choose NVIDIA: Nemotron 3.5 Content Safety if…

  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; DeepSeek: DeepSeek V4 Flash Vision Exp (batch) does not advertise it
  • you want to prototype at zero cost — a free variant is listed

Frequently asked questions

Is DeepSeek: DeepSeek V4 Flash Vision Exp (batch) better than NVIDIA: Nemotron 3.5 Content Safety?

Neither wins outright: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is the pick when cost matters at scale, NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling). In short: DeepSeek: DeepSeek V4 Flash Vision Exp (batch) when cost matters at scale, you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need log-probabilities, you generate long outputs in one go; NVIDIA: Nemotron 3.5 Content Safety when you need seed (reproducible sampling), you want to prototype at zero cost.

Which is cheaper, DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or NVIDIA: Nemotron 3.5 Content Safety?

DeepSeek: DeepSeek V4 Flash Vision Exp (batch) is cheaper: $0.17 vs $0.20 per 1M tokens at a typical 3:1 input/output mix, 18% less. For 50,000 support conversations a month that is $14.85 against $19.00.

How much do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and NVIDIA: Nemotron 3.5 Content Safety cost per million tokens?

DeepSeek: DeepSeek V4 Flash Vision Exp (batch) costs $0.11 per 1M input tokens and $0.33 per 1M output tokens; NVIDIA: Nemotron 3.5 Content Safety costs $0.20 input and $0.20 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or NVIDIA: Nemotron 3.5 Content Safety?

DeepSeek: DeepSeek V4 Flash Vision Exp (batch): 1.0M tokens, about 1,573 pages, against 131K (about 197 pages) for NVIDIA: Nemotron 3.5 Content Safety.

Do DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and NVIDIA: Nemotron 3.5 Content Safety support function calling and JSON output?

Tool calling — DeepSeek: DeepSeek V4 Flash Vision Exp (batch): yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised. JSON-schema structured output — DeepSeek: DeepSeek V4 Flash Vision Exp (batch): yes, NVIDIA: Nemotron 3.5 Content Safety: not advertised.

Can DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or NVIDIA: Nemotron 3.5 Content Safety read images?

Yes, both accept image input.

Is DeepSeek: DeepSeek V4 Flash Vision Exp (batch) or NVIDIA: Nemotron 3.5 Content Safety free to use?

NVIDIA: Nemotron 3.5 Content Safety has a free variant (nvidia/nemotron-3.5-content-safety:free). Free variants usually carry tighter rate limits.

What is the maximum output length of DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and NVIDIA: Nemotron 3.5 Content Safety?

DeepSeek: DeepSeek V4 Flash Vision Exp (batch) can write up to 944K tokens (about 707,800 words) per response; NVIDIA: Nemotron 3.5 Content Safety up to 118K (about 88,500 words).

When were DeepSeek: DeepSeek V4 Flash Vision Exp (batch) and NVIDIA: Nemotron 3.5 Content Safety released?

DeepSeek: DeepSeek V4 Flash Vision Exp (batch) was listed on 2026-08-21; NVIDIA: Nemotron 3.5 Content Safety on 2026-06-04.

About the two models

Compare DeepSeek: DeepSeek V4 Flash Vision Exp (batch) with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0

Compare NVIDIA: Nemotron 3.5 Content Safety with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
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